Duration
30h Th
Number of credits
Lecturer
Language(s) of instruction
English language
Organisation and examination
Teaching in the second semester
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
The course focuses on the digital transformation of human resources management and analyzes how technologies, information systems, and data are transforming HR practices, decision-making processes, and the roles of various stakeholders within the organization.
The course combines a technological, analytical, and organizational approach and covers the following topics in particular:
- Digitalization of organizations and the transformation of HR practices;
- Artificial intelligence and the automation of HR activities;
- Technology adoption and the socio-material approach;
- Reporting, HR metrics, and HR analytics;
- Descriptive, explanatory, predictive, and prescriptive analytics;
- Data quality and data literacy;
- Application of HR Analytics to key HRM practices;
- Human resources information systems: architecture, modules, and integration;
- Self-service, automation, and interaction technologies, particularly HR chatbots;
- Benefits, limitations, and organizational impacts of HRIS;
- Digital transformation of workforce management, recruitment, training, performance evaluation, and other HR practices;
- Digitalization and new forms of work and employment;
- Implementation, adoption, and governance of HR technologies;
- Roadmaps and approaches to the digital and analytical transformation of the HR function.
Learning outcomes of the learning unit
Upon completion of this course, students will be able to:
- Explain and apply the main conceptual frameworks used to analyze the digital transformation of HRM, including technological determinism, social determinism, and sociomateriality.
- Critically analyze the uses of digital technologies, artificial intelligence, HRIS, and HR analytics tools in human resources management practices.
- Apply and interpret HR analytics indicators, reporting tools, and methodologies in various HR practices, taking into account data quality, the organizational context, and the limitations of the analysis.
- Evaluate the effects of digitization on HR practices, the roles of various stakeholders, decision-making processes, and the employee experience.
- Identify and analyze the main components of an HRIS, how they interface with the organization's other systems, and their contribution to the production, circulation, and use of HR data.
- Formulate well-reasoned recommendations to support the implementation, adoption, and evolution of digital and analytical technologies in HRM.
Prerequisite knowledge and skills
/
Planned learning activities and teaching methods
The course is based on a participatory methodology that places students at the center of their learning. They play an active role in acquiring concepts and achieving educational objectives. Sessions combine various approaches to enable a thorough understanding of the issues and challenges addressed in the course.
Teaching methods include:
- Preparatory readings: scientific and professional readings discussed in class to stimulate collective reflection.
- Lectures: presentations of key concepts and theoretical frameworks.
- Case studies: written and video analyses linking concepts to real-world practices.
- Discussions with professionals (to be confirmed): presentations by practitioners from private companies or public organizations, offering a practical perspective.
- Multiple-choice exercises: offered throughout the course to test understanding and integration of concepts.
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face course
Further information:
Some additional materials will be available via the LOL@ platform.
In the event of an unexcused student's absence, any test organized as part of the continuous assessment will be marked as zero.
Course materials and recommended or required readings
Platform(s) used for course materials:
- LOL@
Further information:
Course materials (slides) available on LOL@.
Required reading (scientific articles, gray literature) indicated throughout the course.
Exam(s) in session
Any session
- In-person
written exam ( multiple-choice questionnaire, open-ended questions ) AND oral exam
Continuous assessment
Further information:
Exam(s) in session
Any session
- In-person
written exam ( multiple-choice questionnaire ) AND oral exam
Further information:
First session:
The assessment will take the form of a written exam covering all the material covered in class, divided as follows:
- Multiple-choice questions.
- Open-ended case study questions.
The assessment will take the form of a written exam covering all the material covered in class.
During the second session, points earned during the continuous assessment will not be carried over.
The assessment methods for the second session will vary depending on the number of students enrolled:
- If the number of students is less than or equal to 30, the exam will be oral and will cover all of the material.
- If the number of students is greater than 30, the exam will be written and will also cover all of the material.
Work placement(s)
Organisational remarks and main changes to the course
Contacts
Before contacting the teacher regarding the content or terms of the course, students are invited to follow the following steps independently:
1. Consult the course materials and their own notes to check if the answer to the question is already there.
2. Exchange with fellow students via the discussion space on the course page (Lola) to benefit from peer collaboration.
3. Ask their question during class sessions so that the entire class can benefit from it and the exchanges can enrich collective learning.
For any individual request by email, a response time of five working days should be expected. If no response is received after this period, students may consider sending a follow-up.
Pr. Frédéric NAEDENOEN,
LENTIC / HEC Liège, Ecole de Gestion de l'Université de Liège,
Bâtiment N1d (HEC) / LENTIC,
Tél.: + 32 4 366 30 70,
E-Mail: FNaedenoen@uliege.be